A statistical model for orientation mechanism
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A variance components model with response variable depending on both fixed effects of explanatory variables and random components is specified to model longitudinal circular data, in order to study the directional behaviour of small animals, as insects, crustaceans, amphipods, etc. Unknown parameter estimators are obtained using a simulated maximum likelihood approach. Issues concerning log-likelihood variability and the related problems in the optimization algorithm are also addressed. The procedure is applied to the analysis of directional choices under full natural conditions ofTalitrus saltator from Castiglione della Pescaia (Italy) beaches.
Key wordsCircular data directional behaviour longitudinal data simulated maximum likelihood variance components
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- Abramowitz M, Stegun IA (1965) Handbook of Mathematical Functions, New York: DoverGoogle Scholar
- Diggle PJ (1990) Time Series: A Biostatistical Introduction. Oxford University Press: LondonGoogle Scholar
- Gouriéroux C, Monfort A (1996) Simulation-Based Econometric Methods, Oxford: Oxford University PressGoogle Scholar
- Scapini F (1997) Variation in Scototaxis and Orientation Adaption of Talitrus saltator. Populations Subjected to Different Ecological Constraints Estuarine, Coastal and Shelf Science44, 139–146Google Scholar
- Smith DM, Robertson WH, Diggle PJ (1996) Oswald: Objected-Oriented Software for the Analysis of Longitudinal Data in S, Technical Report MA 96/192 Department of Mathematics and Statistics, University of Lancaster, UKGoogle Scholar